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09/21/2023
DeepTheft: Stealing DNN Model Architectures through Power Side Channel
Deep Neural Network (DNN) models are often deployed in resource-sharing ...
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09/05/2023
Towards Understanding of Deepfake Videos in the Wild
Deepfakes have become a growing concern in recent years, prompting resea...
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06/15/2023
Detecting Misuses of Security APIs: A Systematic Review
Security Application Programming Interfaces (APIs) play a vital role in ...
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03/26/2023
Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices
The metaverse has gained significant attention from various industries d...
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02/25/2023
Cybersecurity Challenges of Power Transformers
The rise of cyber threats on critical infrastructure and its potential f...
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02/25/2023
Why Do Deepfake Detectors Fail?
Recent rapid advancements in deepfake technology have allowed the creati...
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12/01/2022
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
Split learning (SL) aims to protect user data privacy by splitting deep ...
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11/24/2022
Tracking Dataset IP Use in Deep Neural Networks
Training highly performant deep neural networks (DNNs) typically require...
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10/17/2022
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms
Location trajectories collected by smartphones and other devices represe...
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09/06/2022
MACAB: Model-Agnostic Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-World
Object detection is the foundation of various critical computer-vision t...
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09/04/2022
PhishClone: Measuring the Efficacy of Cloning Evasion Attacks
Web-based phishing accounts for over 90 web-browsers and security vendor...
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06/10/2022
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction
Split learning (SL) enables data privacy preservation by allowing client...
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03/24/2022
Email Summarization to Assist Users in Phishing Identification
Cyber-phishing attacks recently became more precise, targeted, and tailo...
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01/21/2022
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World
Deep learning models have been shown to be vulnerable to recent backdoor...
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11/22/2021
NTD: Non-Transferability Enabled Backdoor Detection
A backdoor deep learning (DL) model behaves normally upon clean inputs b...
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08/20/2021
Quantization Backdoors to Deep Learning Models
There is currently a burgeoning demand for deploying deep learning (DL) ...
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05/17/2021
RAIDER: Reinforcement-aided Spear Phishing Detector
Spear Phishing is a harmful cyber-attack facing business and individuals...
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05/03/2021
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning
The diversity and quantity of the data warehousing, gathering data from ...
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03/01/2021
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
There are now many adversarial attacks for natural language processing s...
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01/12/2021
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN
Convolutional Neural Networks (CNNs) deployed in real-life applications ...
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10/08/2020
